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Code Formatting

Checked
pollinations·vlatest·ai-ml·MIT

Automatically formats Python code snippets to improve readability and adhere to PEP 8 style guidelines.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add pollinations/pollinations --skill code-formatting -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

pollinations

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned pollinations/pollinations at b5bae6b280.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
2 files, 65 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to automatically format and structure raw code snippets into clean, readable syntax. It ensures consistent indentation, proper spacing, and adherence to standard coding conventions across various programming languages.

When to use it

  • Cleaning up unstructured or messy code generated by other AI tools before further processing.
  • Preparing code blocks for documentation, reports, or public repositories to ensure professional presentation.
  • Standardizing formatting across a team's codebase when integrating new scripts from external sources.
  • Improving the readability of complex logic blocks within chat interfaces or terminal outputs.

Key capabilities

  • Automatic syntax highlighting preparation
  • Consistent indentation and whitespace management
  • Language-specific formatting rules application
  • Conversion of raw text into structured code blocks

Example prompts

  • "Format this messy JavaScript function using standard Prettier conventions."
  • "Take the following unstructured Python script and organize it with proper indentation and comments."
  • "Convert this raw C++ code snippet into a clean, formatted block ready for documentation."

Tips & gotchas

Ensure you specify the target programming language in your prompt to guarantee the agent applies the correct formatting rules. For best results, provide the full context of the code rather than just isolated lines if the structure depends on surrounding logic.